Centre for Discrete and Applicable Mathematics 

CDAM Research Report, LSECDAM200317August 2003 
Nicholas Georgiou
Abstract
We describe a family of models of random partial orders, called classical sequential growth models, and study a specific case, which is the simplest interesting model, called a random binary growth model. This model produces a random poset, called a random binary order, B_{2}, on the vertex set N by considering each vertex n >= 2 in turn and placing it above 2 vertices chosen uniformly at random from the set {0, . . . , n  1} (with additional relations added to ensure transitivity). We show that B_{2} has infinite dimension, almost surely. Using the differential equation method of Wormald, we can closely approximate the size of the upset of an arbitrary vertex. We give an upper bound on the largest vertex incomparable with vertex n, which is polynomial in n, and using this bound we provide an example of a poset P, such that there is a positive probability that B_{2} does not contain P.
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